Historical Land Use/Land Cover Classification Using Remote by Wafi Al-Fares

Historical Land Use/Land Cover Classification Using Remote by Wafi Al-Fares

By Wafi Al-Fares

Although the advance of distant sensing concepts focuses significantly on development of recent sensors with greater spatial and spectral answer, you want to additionally use info of older sensors (especially, the LANDSAT-mission) whilst the historic mapping of land use/land conceal and tracking in their dynamics are wanted. utilizing information from LANDSAT missions in addition to from Terra (ASTER) Sensors, the authors exhibits in his ebook maps of ancient land disguise adjustments with a spotlight on agricultural irrigation projects.

The kernel of this learn was once no matter if, how and to what volume utilizing some of the remotely sensed information that have been used the following, will be a good method of classify the ancient and present land use/land conceal, to observe the dynamics of land use/land conceal over the past 4 a long time, to map the improvement of the irrigation parts, and to categorise the key strategic iciness- and summer-irrigated agricultural vegetation within the research quarter of the Euphrates River Basin.

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Extra resources for Historical Land Use/Land Cover Classification Using Remote Sensing: A Case Study of the Euphrates River Basin in Syria

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De Colstoun et al. (2003) applied a decision tree on multi-temporal images from the ETM+ to distinguish between 11 features of land cover. The overall accuracy was clearly enhanced by using classifier ensemble techniques, as boosting. The paper from Berberoglu et al. (2007) aimed to evaluate the usefulness of integrating texture measures into MLC and ANN classifications in a Mediterranean environment, using LANDSAT-TM-imagery. The best classification accuracies were reached by using the ANN classifier.

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